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Robotics

2069 directly classified papers

Papers per year

Papers

Growing Q-networks: Solving continuous control tasks with adaptive control resolution L4DC 2024
Learning and deploying robust locomotion policies with minimal dynamics randomization L4DC 2024
Real-world fluid directed rigid body control via deep reinforcement learning L4DC 2024
Efficient skill acquisition for insertion tasks in obstructed environments L4DC 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents NIPS 2024
Parameterized fast and safe tracking (FaSTrack) using DeepReach L4DC 2024
Proto-MPC: An encoder-prototype-decoder approach for quadrotor control in challenging winds L4DC 2024
An efficient data-based off-policy Q-learning algorithm for optimal output feedback control of linear systems L4DC 2024
E2CL: Exploration-based Error Correction Learning for Embodied Agents EMNLP 2024
ReCoRe: Regularized Contrastive Representation Learning of World Model CVPR 2024
LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble EMNLP 2024
Flipping-based Policy for Chance-Constrained Markov Decision Processes NIPS 2024
Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation CVPR 2024
MOPA: Modular Object Navigation With PointGoal Agents WACV 2024
Versatile Navigation Under Partial Observability via Value-guided Diffusion Policy CVPR 2024
SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking NIPS 2024
CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection WACV 2024
Embodied Executable Policy Learning with Language-based Scene Summarization NAACL 2024
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control JMLR 2024
Anytime-Constrained Reinforcement Learning AISTATS 2024
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research JMLR 2024
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning NIPS 2024
Combining model-based controller and ML advice via convex reparameterization L4DC 2024
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow NIPS 2024
Learning to Control Camera Exposure via Reinforcement Learning CVPR 2024